Isel Grau Garcia
Department / Institute
Group
RESEARCH PROFILE
Isel Grau is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of Artificial Intelligence, particularly recurrent neural networks, (semi-)supervised classification, time-series analysis, data-driven decision making, and explainable AI. Her main research activity focuses on making machine learning black boxes more interpretable, formalizing prior knowledge from experts and using their feedback to improve AI models, identifying and correcting bias, and exploring these challenges in healthcare or business settings. She aims to develop more trustable and meaningful decision support systems that put human experts in the loop.
SUPERVISION
Isel Grau is promotor / co-promotor of:
- Mohsen Abbaspour Onari
I create AI solutions that are accurate and useful, but also transparent and fair.
ACADEMIC BACKGROUND
Isel Grau received her Ph.D. in Computer Science from the Vrije Universiteit Brussel (VUB), Belgium. Her Ph.D. research focused on machine learning interpretability and semi-supervised classification. During her postdoctoral research at the Artificial Intelligence Laboratory of the VUB, she closely collaborated with institutions such as the Interuniversity Institute of Bioinformatics Brussels, the Universitair Ziekenhuis Brussel, and industry partners on interdisciplinary projects. She was a visiting researcher at the Warsaw University of Technology in 2022. She has active collaboration with researchers from Vrije University Brussel, Hasselt University, Universidad de Talca, Universidad de Granada, Warsaw University of Technology, and Tilburg University.
Recent Publications
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Isel Grau,Ana Glaser,Gonzalo Nápoles,Remco Dijkman
Semiconductor Demand Forecasting using Long Short-term Cognitive Networks
34th Benelux Conference on Artificial Intelligence and 31st Belgian-Dutch Conference on Machine Learning, BNAIC/BeNeLearn 2022 (2022) -
Gonzalo Nápoles,Isel Grau,Çiçek Güven,Orçun Özdemir,Yamisleydi Salgueiro
Which is the best model for my data?
arXiv (2022) -
Gonzalo Nápoles,Isel Grau,Agnieszka Jastrzębska,Yamisleydi Salgueiro
Long short-term cognitive networks
Neural Computing and Applications (2022) -
Mohsen Abbaspour Onari,Marco S. Nobile,Isel Grau,Caro Fuchs,Yingqian Zhang,Arjen-Kars Boer,Volkher Scharnhorst
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19
(2022) -
Joel Roca-Martinez,Tamas Lazar,Jose Gavalda-Garcia,David Bickel,Rita Pancsa,Bhawna Dixit,Konstantina Tzavella,Pathmanaban Ramasamy,Maite Sanchez-Fornaris,Isel Grau
Challenges in describing the conformation and dynamics of proteins with ambiguous behavior
Frontiers in Molecular Biosciences (2022)
Current Educational Activities
Ancillary Activities
No ancillary activities